Mathematical and Computational Oncology [electronic resource] : First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14-16, 2019, Proceedings / edited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima.
Contributor(s): Bebis, George [editor.]
| Benos, Takis [editor.] | Chen, Ken [editor.] | Jahn, Katharina [editor.] | Lima, Ernesto [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 11826Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XXIII, 99 p. 117 illus., 26 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030352103.Subject(s): Computer vision | Software engineering | Artificial intelligence | Computer science -- Mathematics | Mathematical statistics | Computer Vision | Software Engineering | Artificial Intelligence | Probability and Statistics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online Special Track: Tumor evolvability and intra-tumor heterogeneity -- Imaging and scientific visualization for cancer research -- Statistical methods and data mining for cancer research (SMDM) -- Spatio-temporal tumor modeling and simulation (STTMS).
This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019. The 7 full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS).
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